Debates about competitiveness and productivity are practically unexplored with respect to tourism. This article posits a productivity-related measure—total tourism contribution to GDP per employee in tourism—in order to examine destination competiveness. Comprehensive results based on a destination competitiveness model are obtained by analyzing tourism-specific and wider economy-based competitiveness factors. These are represented by six destination competitiveness factors measured by 55 indicators for 139 destinations over the period 2007–2011. Study findings demonstrate that tourism-specific factors, such as Tourism Infrastructure and Destination Management, are the major competitiveness drivers in developing countries, while destination competitiveness in developed countries depends on the tourism-specific factor of Destination Management as well as on wider economic conditions such as General Infrastructure, Macro-Environment, and Business Environment. The study offers a novel approach in the operationalization and estimation of a theoretically grounded and empirically validated tourism competitiveness model and discusses the implications for tourism policy.

Destination competitiveness has attracted much attention from researchers over the past two decades. The Integrated Destination Competitiveness Model has been used to explore destination competitiveness in many contexts including Australia, Korea, Slovenia, and Serbia. Given its popularity with tourism researchers and its application to destination competitiveness studies world-wide, it is appropriate to undertake a rigorous test of the destination competitiveness attributes identified in this model, their validity and indicator accessibility to researchers and practitioners. Testing the 83 destination competitiveness attributes of this major model can inform researchers about the appropriateness of the model structure, the validity of the groupings of destination competitiveness attributes, and the relevance of different indicators to destination attributes. The data used for testing are comprehensive, covering 139 countries worldwide in the period 2007 to 2011. The testing process confirms the value of the Integrated Model in understanding a destination's competitiveness indicators, the gains from which will be more informed policy making regarding the type of tourism development most likely to enhance resident quality of economic and social life.

PurposeThe paper aims to contribute to a better understanding of the drivers for the use of Industry 4.0 technologies by investigating (1) what motivates companies to consider using I4 technologies and (2) what enables (or hinders) the intention to use I4 technologies to translate into their actual use.Design/methodology/approachThe study uses survey data collected from a sample of export-oriented manufacturing companies with more than 10 employees. Final analysis is conducted on 124 companies.FindingsThe results show that companies are proactively approaching I4. Only efficiency motives and expected competitive advantage have a positive effect on the intention to use I4 technologies, which in turn positively influences their actual use. The external, legitimacy-based, motives do not play a significant role in explaining the intention to use. With respect to I4 technology enablers, employee competency positively moderates and availability of finance negatively moderates the relationship between intention to use and actual use.Research limitations/implicationsThe work extends the existing knowledge base on I4 technology drivers in companies that are not major global trendsetters but are heavily embedded in the value chains of companies from the most industrially developed economies. The study is limited to manufacturing companies in a small European economy and should be retested in other contexts.Practical implicationsThe study can help managers implement I4 technologies in their companies more successfully.Originality/valueWe take a novel research approach by proposing a framework that clearly distinguishes between motives and enablers for the use of I4 technologies.

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Our study focuses on examining the relationship between productivity (or productivity growth) and state aid allocation in Slovenia during the period of 1998 to 2012. The country itself represents almost an ideal case as the amount of subsidies being allocated in the relevant period decreased significantly after joining the EU. Our study builds on the theoretical model of Aghion et al. (2015) arguing that sectorial policy can enhance growth and efficiency if it is made competition-friendly. The main results show, that by increasing dispersion of subsidies within particular sectors by one standard deviation, the productivity growth increases by 0.03 percentage points on average, ceteris paribus. State aid has been especially important in the period of economic downturn (2009-2012). However we found evidence that firms receiving a higher portion of subsidies were less productive when compared with counterparts from the same sector receiving less or no subsidies. The difference was the biggest during the period of economic downturn.